QoE estimation for different adaptive streaming techniques in mobile networks


Authors

DOI:

https://doi.org/10.22517/23447214.24746

Keywords:

Adaptive Transmission, LTE, MOS, QoE, Video

Abstract

Video services are becoming more and more popular for mobile network users and require greater and greater resources and provisions from telecommunications service providers. But operators suffer from problems of interoperability between the different adaptive transmissions techniques they employ in an attempt to satisfy the quality of experience (QoE) of the service provided to users and improve network performance. This article presents a comparison of four such streaming techniques - DASH (dynamic adaptive streaming over HTTP), HDS (HTTP dynamic streaming), HLS (HTTP2 live streaming) and HSS (HTTP smooth streaming) - used in a live video playback by a user in different test scenarios on an emulated long-term evolution (LTE) network. Comparison of performance was carried out using the mean opinion score (MOS) metric calculated based on ITU-T Recommendation P.1203. The streaming techniques that performed best in each of the different test scenarios are revealed.

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Author Biography

Héctor Fabio Bermúdez Orozco, Universidad del Quindio. Universidad del Cauca.

References

[1] Ericsson, “Mobile Network Evolution-4G to 5G|Mobility Report,” Ericsson.com, Sep. 07, 2020. https://www.ericsson.com/en/mobility-report (accessed Feb. 16, 2021).
[2] O. B. Maia, H. C. Yehia, and L. de Errico, “A concise review of the quality of experience assessment for video streaming,” Computer Communications, vol. 57, pp. 1–12, Feb. 2015, doi: 10.1016/j.comcom.2014.11.005.
[3] D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge University Press, 2005.
[4] L. Guo and Y. Meng, “What is wrong and right with MSE?,” 2006, pp. 212–215.
[5] H.-F. Bermudez, “Modelado de tráfico para el servicio de streaming de video en vivo -LVS en redes móviles LTE con calidad de la experiencia,” Tesis Doctoral, Universidad del Cauca, Popayán - Colombia, 2020.
[6] D. Ghadiyaram, J. Pan, and A. C. Bovik, “A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 1, pp. 183–197, Jan. 2019, doi: 10.1109/TCSVT.2017.2768542.
[7] ISO, “ISO/IEC 23009-1:2014(E). Information technology — Dynamic adaptive streaming over HTTP (DASH).” 2014.
[8] Jbocharov, “Smooth Streaming Transport Protocol,” 2008. https://docs.microsoft.com/en-us/iis/media/smooth-streaming/smooth-streaming-transport-protocol (accessed Jun. 03, 2020).
[9] Apple, “HTTP Live Streaming (HLS) - Apple Developer,” 2014. https://developer.apple.com/streaming/ (accessed Jun. 03, 2018).
[10] Adobe, “Adobe HTTP Dynamic Streaming (HDS) Technology Center | Adobe Developer Connection,” 2014. https://www.adobe.com/devnet/hds.html?origref=https%3A%2F%2Fwww.google.es%2F (accessed Jun. 03, 2020).
[11] ISO/IEC, “MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH),” 2010. https://mpeg.chiariglione.org/standards/mpeg-dash (accessed Jun. 03, 2018).
[12] T. Stockhammer, “Dynamic adaptive streaming over HTTP --: standards and design principles,” Munich, Germany, Feb. 2011, pp. 133–144. doi: 10.1145/1943552.1943572.
[13] H. F. Bermúdez, J. L. Arciniegas, and E. Astaiza, “State of the art of QoE assessment methods, and emulation environments for the video service in LTE networks,” Entre Ciencia e Ingeniería, vol. 10, no. 20, pp. 66–75, Dec. 2016, Accessed: May 27, 2017. [Online]. Available: http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S1909-83672016000200010&lng=en&nrm=iso&tlng=es
[14] ITU-T, “P.911: Subjective audiovisual quality assessment methods for multimedia applications,” Dec. 1998. https://www.itu.int/rec/T-REC-P.911-199812-I/en (accessed Apr. 12, 2018).
[15] ITU-T, “P.910: Subjective video quality assessment methods for multimedia applications,” Apr. 1999. https://www.itu.int/rec/T-REC-P.910-200804-I/en (accessed Apr. 12, 2020).
[16] ITU-T, “P.1201.2 : Parametric non-intrusive assessment of audiovisual media streaming quality - Higher resolution application area,” 50 2013. https://www.itu.int/rec/T-REC-P.1201.2 (accessed Apr. 12, 2018).
[17] ITU-T, “P.1203.3 : Parametric bitstream-based quality assessment of progressive download and adaptive audiovisual streaming services over reliable transport - Quality integration module,” Jan. 2019. http://www.itu.int/rec/T-REC-P.1203.3-201710-I (accessed Dec. 02, 2020).
[18] A. Aloman, A. I. Ispas, P. Ciotirnae, R. Sanchez-Iborra, and M. D. Cano, “Performance Evaluation of Video Streaming Using MPEG DASH, RTSP, and RTMP in Mobile Networks,” in 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC), Oct. 2015, pp. 144–151. doi: 10.1109/WMNC.2015.12.
[19] V. Mata G., “Análisis y Comparativa de los Protocolos de Transmisión de vídeo Adaptativo por Internet,” Tesis, Carlos III de Madrid, Leganés España, 2014.
[20] Albedo, “Net.Time clock,” PTP clocks, 10GbE testers, C37.94 test, 2019. http://www.albedotelecom.com/ (accessed Jun. 05, 2020).
[21] E. Intriago A., “Análisis de Tecnologías de Streaming: Evaluación de Protocolos y Diseño de un Caso de Estudio,” Trabajo fin de Máster, Universidad Politécnica de Madrid, Madrid, 2016.
[22] M. Taha, “A Novel CDN Testbed for Fast Deploying HTTP Adaptive Video Streaming,” Jun. 2016, pp. 65–71. Accessed: Jun. 07, 2018. [Online]. Available: http://dl.acm.org/citation.cfm?id=3021385.3021399
[23] M. Taha, J. Lloret, A. Canovas, and L. Garcia, “Survey of Transportation of Adaptive Multimedia Streaming service in Internet,” Network Protocols and Algorithms, vol. 9, no. 1–2, pp. 85–125, Jun. 2017, doi: 10.5296/npa.v9i1-2.12412.
[24] M. Taha, J. Lloret, A. Ali, and L. Garcia, “Adaptive video streaming testbed design for performance study and assessment of QoE,” International Journal of Communication Systems, vol. 31, no. 9, Mar. 2018, doi: 10.1002/dac.3551.
[25] F. Abdurrahman et al., “Real Time Video Streaming over NS3 based Emulated LTE Networks,” 2014, vol. 4, pp. 659–663.
[26] H.-F. Bermudez, R. Sanchez-Iborra, J. L. Arciniegas, W. Y. Campo, and M.- Cano, “Performance validation of NS3-LTE emulation for live video streaming under QoS parameters,” in 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, Oct. 2017, pp. 300–307. doi: 10.1109/WiMOB.2017.8115836.
[27] H.-F. Bermudez, R. Sanchez-Iborra, J. L. Arciniegas, W. Y. Campo, and M.-D. Cano, “Statistical validation of an LTE emulation tool using live video streaming over reliable transport protocols,” Telecommun Syst, vol. 71, no. 3, pp. 491–504, Jul. 2019, doi: 10.1007/s11235-018-0521-6.
[28] Blender, “Big Buck Bunny » Download,” 2008. https://peach.blender.org/download/ (accessed Sep. 09, 2020).
[29] ITU-T, “Y.1541 : Objetivos de calidad de funcionamiento de red para servicios basados en el protocolo Internet,” Dec. 2011. https://www.itu.int/rec/T-REC-Y.1541-201112-I/es (accessed Nov. 08, 2020).

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Published

2021-12-03

How to Cite

Bermúdez Orozco, H. F., Campo Muñoz, W. Y., & Astaiza Hoyos, E. (2021). QoE estimation for different adaptive streaming techniques in mobile networks. Scientia Et Technica, 26(04), 434–441. https://doi.org/10.22517/23447214.24746